Fulvio De Santis

563 total citations
36 papers, 330 citations indexed

About

Fulvio De Santis is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Fulvio De Santis has authored 36 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 23 papers in Management Science and Operations Research and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Fulvio De Santis's work include Statistical Methods in Clinical Trials (24 papers), Optimal Experimental Design Methods (22 papers) and Statistical Methods and Bayesian Inference (14 papers). Fulvio De Santis is often cited by papers focused on Statistical Methods in Clinical Trials (24 papers), Optimal Experimental Design Methods (22 papers) and Statistical Methods and Bayesian Inference (14 papers). Fulvio De Santis collaborates with scholars based in Italy. Fulvio De Santis's co-authors include Julia Mortera and Alessandra Nardi and has published in prestigious journals such as Journal of the American Statistical Association, Statistics in Medicine and International Journal of Environmental Research and Public Health.

In The Last Decade

Fulvio De Santis

29 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fulvio De Santis Italy 11 282 134 71 42 38 36 330
Markus Roters Germany 9 253 0.9× 145 1.1× 42 0.6× 16 0.4× 39 1.0× 30 351
Ben Boukai United States 9 256 0.9× 41 0.3× 75 1.1× 11 0.3× 63 1.7× 28 319
Hong-Tu Zhu Hong Kong 7 300 1.1× 56 0.4× 24 0.3× 41 1.0× 137 3.6× 9 374
Luisa Turrin Fernholz United States 10 230 0.8× 45 0.3× 64 0.9× 20 0.5× 57 1.5× 18 312
K. R. Nair India 9 117 0.4× 50 0.4× 47 0.7× 20 0.5× 17 0.4× 34 191
Ian James Australia 10 172 0.6× 28 0.2× 21 0.3× 15 0.4× 88 2.3× 26 275
Jan F. Bjørnstad Norway 7 136 0.5× 33 0.2× 46 0.6× 20 0.5× 35 0.9× 15 216
Hammou El Barmi United States 9 204 0.7× 37 0.3× 23 0.3× 21 0.5× 86 2.3× 43 270
Luis M. Castro Chile 12 334 1.2× 45 0.3× 43 0.6× 16 0.4× 188 4.9× 44 415
Murari Mitra India 11 249 0.9× 103 0.8× 90 1.3× 6 0.1× 12 0.3× 46 297

Countries citing papers authored by Fulvio De Santis

Since Specialization
Citations

This map shows the geographic impact of Fulvio De Santis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fulvio De Santis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fulvio De Santis more than expected).

Fields of papers citing papers by Fulvio De Santis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fulvio De Santis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fulvio De Santis. The network helps show where Fulvio De Santis may publish in the future.

Co-authorship network of co-authors of Fulvio De Santis

This figure shows the co-authorship network connecting the top 25 collaborators of Fulvio De Santis. A scholar is included among the top collaborators of Fulvio De Santis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fulvio De Santis. Fulvio De Santis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Santis, Fulvio De, et al.. (2024). The distribution of power-related random variables (and their use in clinical trials). Statistical Papers. 65(9). 5555–5574.
2.
Santis, Fulvio De, et al.. (2024). Distributions of Risk Functions for the Pareto Model. Open Journal of Statistics. 14(6). 721–736.
3.
Santis, Fulvio De, et al.. (2023). On the limit distribution of the power function induced by a design prior. Statistical Papers. 65(4). 1927–1945. 2 indexed citations
4.
Santis, Fulvio De, et al.. (2023). A dynamic power prior approach to non‐inferiority trials for normal means. Pharmaceutical Statistics. 23(2). 242–256. 1 indexed citations
5.
Santis, Fulvio De, et al.. (2022). Borrowing historical information for non-inferiority trials on Covid-19 vaccines. The International Journal of Biostatistics. 19(1). 177–189. 2 indexed citations
6.
Santis, Fulvio De, et al.. (2021). Confidence intervals for the parameter of the scaled-uniform model. Communications in Statistics - Simulation and Computation. 52(12). 6235–6248. 1 indexed citations
7.
Santis, Fulvio De, et al.. (2019). A note on the progressive overlap of two alternative Bayesian intervals. Communication in Statistics- Theory and Methods. 50(14). 3301–3318. 2 indexed citations
8.
Santis, Fulvio De, et al.. (2018). Avoiding the Range of Equivalence in Clinical Trials: Bayesian Sample Size Determination for Robust Credible Intervals. Combinatorial Chemistry & High Throughput Screening. 26(3). 595–609.
9.
Santis, Fulvio De, et al.. (2016). A decision‐theoretic approach to sample size determination under several priors. Applied Stochastic Models in Business and Industry. 33(3). 282–295. 5 indexed citations
10.
Santis, Fulvio De, et al.. (2014). Bayesian-frequentist sample size determination: a game of two priors. METRON. 72(2). 133–151. 17 indexed citations
11.
Santis, Fulvio De, et al.. (2012). Predictive control of posterior robustness for sample size choice in a Bernoulli model. Statistical Methods & Applications. 22(3). 319–340. 2 indexed citations
12.
Santis, Fulvio De, et al.. (2009). Mixtures of prior distributions for predictive Bayesian sample size calculations in clinical trials. Statistics in Medicine. 28(17). 2185–2201. 13 indexed citations
13.
Santis, Fulvio De, et al.. (2008). Robust Bayesian sample size determination in clinical trials. Statistics in Medicine. 27(13). 2290–2306. 41 indexed citations
14.
Santis, Fulvio De. (2006). Using Historical Data for Bayesian Sample Size Determination. Journal of the Royal Statistical Society Series A (Statistics in Society). 170(1). 95–113.
15.
Santis, Fulvio De. (2006). Power Priors and Their Use in Clinical Trials. The American Statistician. 60(2). 122–129. 23 indexed citations
16.
Santis, Fulvio De. (2006). Sample Size Determination for Robust Bayesian Analysis. Journal of the American Statistical Association. 101(473). 278–291. 36 indexed citations
17.
Santis, Fulvio De, et al.. (2004). Optimal Predictive Sample Size for Case–Control Studies. Journal of the Royal Statistical Society Series C (Applied Statistics). 53(3). 427–441. 14 indexed citations
18.
Santis, Fulvio De. (2002). Interactive use of default and robust Bayes testing methods in the presence of vague prior information. Journal of the Royal Statistical Society Series D (The Statistician). 51(4). 451–465. 2 indexed citations
19.
Santis, Fulvio De, Julia Mortera, & Alessandra Nardi. (2001). Jeffreys priors for survival models with censored data. Journal of Statistical Planning and Inference. 99(2). 193–209. 10 indexed citations
20.
Santis, Fulvio De, et al.. (1999). Methods for Default and Robust Bayesian Model Comparison: the Fractional Bayes Factor Approach. International Statistical Review. 67(3). 267–286. 26 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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